Plot options for jnd2xyz
objects.
jndplot( x, arrow = c("relative", "absolute", "none"), achro = FALSE, arrow.labels = TRUE, arrow.col = "darkgrey", arrow.p = 1, labels.cex = 1, margin = "recommended", square = TRUE, ... )
x | (required) the output from a |
---|---|
arrow | If and how arrows indicating receptor vectors should be drawn.
Options are |
achro | Logical. Should the achromatic variable be plotted as a
dimension? (only available for dichromats and trichromats, defaults to
|
arrow.labels | Logical. Should labels be plotted for receptor arrows?
(defaults to |
arrow.col | color of the arrows and labels. |
arrow.p | scaling factor for arrows. |
labels.cex | size of the arrow labels. |
margin | accepts either |
square | logical. Should the aspect ratio of the plot be held to 1:1?
(defaults to |
... | additional parameters to be passed to |
Creates a plot, details of the plot depend on the input data.
the arrow
argument accepts three options:
"relative"
: With this option, arrows will be made relative to the data.
Arrows will be centered on the data centroid, and will have an arbitrary
length of half the average pairwise distance between points, which can be
scaled with the arrow.p
argument.
"absolute"
: With this option, arrows will be made to reflect the visual
system underlying the data. Arrows will be centered on the achromatic point
in colourspace, and will have length equal to the distance to a
monochromatic point (i.e. a colour that stimulates approximately 99.9% of
that receptor alone). Arrows can still be scaled using the arrow.p
argument, in which case they cannot be interpreted as described.
"none"
: no arrows will be included.
Pike, T.W. (2012). Preserving perceptual distances in chromaticity diagrams. Behavioral Ecology, 23, 723-728.
Rafael Maia rm72@zips.uakron.edu
# Load floral reflectance spectra data(flowers) # Estimate quantum catches visual phenotype of a Blue Tit vis.flowers <- vismodel(flowers, visual = 'bluetit') # Estimate noise-weighted colour distances between all flowers cd.flowers <- coldist(vis.flowers)#>#># Convert points to Cartesian coordinates in which Euclidean distances are # noise-weighted. propxyz <- jnd2xyz(cd.flowers) # Plot the floral spectra in 'noise-corrected' space plot(propxyz)